Head Pose Estimation Based on Tensor Factorization
Neural Information Processing
Visual Intention Detection for Wheelchair Motion
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Development of fuzzy manifold and fuzzy nearest distance for pose estimation of degraded face images
ACE'10 Proceedings of the 9th WSEAS international conference on Applications of computer engineering
A robust head pose estimation system for uncalibrated monocular videos
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Phase space for face pose estimation
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
A Two-Layer Framework for Piecewise Linear Manifold-Based Head Pose Estimation
International Journal of Computer Vision
Parameterless Local Discriminant Embedding
Neural Processing Letters
Hi-index | 0.00 |
In this paper, we introduce a novel discriminative feature which is efficient for pose estimation. The multi-view face representation is based on Local Gabor Binary Patterns( LGBP) and encodes the local facial characteristics in to a compact feature histogram. In LGBP, Gabor filters can extract the feature of the orientation of head and Local Binary Pattern(LBP) can extract the features of facial local orientation. To keep the spatial information of the multi-view face images, LGBP is operated on many subregions of the images. The combination of them can represent well and truly the multi-view face images. Considering the derived feature space, a radial basis function(RBF) kernel SVM classifier is trained to estimate pose. Extensive experiments demonstrate that the facial representation can be effective for pose estimation. is a face. The experimental results show that the proposed method is promising for the detection of occluded faces.